Agent Skills: Kindle Sender

Send Research Swarm documents to Kindle. Use when "send to Kindle", "send research to Kindle", "send someday-maybe to Kindle", "Kindle my research", "with links expanded".

UncategorizedID: Eddale/powerhouse-lab/kindle-sender

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skills/kindle-sender/SKILL.md

Skill Metadata

Name
kindle-sender
Description
Send Research Swarm documents to Kindle. Use when "send to Kindle", "send research to Kindle", "send someday-maybe to Kindle", "Kindle my research", "with links expanded".

Kindle Sender

What This Does

Converts markdown documents from your Zettelkasten to EPUB and emails them to your Kindle for offline reading.

Three modes:

  1. Research mode - Send all Research Swarm docs linked in today's daily note
  2. Review mode - Send your Someday-Maybe.md backlog for Kindle review
  3. Deep reading mode - Send with --expand-links to include full content of all linked documents as an appendix

When to Use

  • "Send my research to Kindle"
  • "Send today's research to Kindle"
  • "Send someday-maybe to Kindle"
  • "Send someday-maybe to Kindle with links expanded"
  • "Kindle my research"

Prerequisites (One-Time Setup)

Before first use, configure these environment variables in ~/.zshrc:

export KINDLE_EMAIL="your-name@kindle.com"
export GMAIL_USER="your-email@gmail.com"
export GMAIL_APP_PASSWORD="your-app-password"

Setup steps:

  1. Find your Kindle email:

  2. Whitelist your sender email:

    • Same page, under "Approved Personal Document E-mail List"
    • Add your Gmail address
  3. Create Gmail app password:

    • Go to Google Account → Security
    • Enable 2-Step Verification if not already
    • Go to "App passwords" (search for it)
    • Create a new app password for "Mail"
    • Use this password, NOT your regular Gmail password
  4. Install Python dependency:

    pip3 install pypandoc pypandoc_binary
    
  5. Reload shell:

    source ~/.zshrc
    

Instructions

For "Send my research to Kindle"

  1. Find today's daily note:

    /Users/eddale/Documents/COPYobsidian/MAGI/Zettelkasten/YYYY-MM-DD.md
    
  2. Extract Research Swarm links from Captures section: Look for wikilinks matching [[Research Swarm - *]] pattern.

  3. Run the sender script in dry-run mode first:

    cd /Users/eddale/Documents/GitHub/powerhouse-lab/skills/kindle-sender/tools
    python3 send_to_kindle.py --daily-note "YYYY-MM-DD" --dry-run
    
  4. Show the user what will be sent: Display the list of documents found.

  5. Ask for confirmation: Use AskUserQuestion: "Send these X documents to Kindle?"

  6. If confirmed, run without dry-run:

    python3 send_to_kindle.py --daily-note "YYYY-MM-DD"
    
  7. Report results: "Sent X documents to your Kindle. They should arrive within a few minutes."

For "Send someday-maybe to Kindle"

  1. Run the sender script with someday-maybe flag:

    cd /Users/eddale/Documents/GitHub/powerhouse-lab/skills/kindle-sender/tools
    python3 send_to_kindle.py --someday-maybe --dry-run
    
  2. Show preview and ask for confirmation.

  3. If confirmed, send:

    python3 send_to_kindle.py --someday-maybe
    

For "Send someday-maybe to Kindle with links expanded"

  1. Run with --expand-links flag for dry run:

    cd /Users/eddale/Documents/GitHub/powerhouse-lab/skills/kindle-sender/tools
    python3 send_to_kindle.py --someday-maybe --expand-links --dry-run
    
  2. Show preview with list of documents that will be expanded.

  3. Ask for confirmation, noting the expanded docs.

  4. If confirmed, send:

    python3 send_to_kindle.py --someday-maybe --expand-links
    

For specific files

User can also request specific files:

python3 send_to_kindle.py --files "Research Swarm - Topic.md" "Another Doc.md"

Script Options

| Flag | Description | |------|-------------| | --daily-note YYYY-MM-DD | Send Research Swarm docs from that day's note | | --someday-maybe | Send the Someday-Maybe.md file | | --files FILE1 FILE2... | Send specific markdown files | | --expand-links | Include content of linked docs (wikilinks) as appendix | | --dry-run | Show what would be sent without sending |

Troubleshooting

| Problem | Solution | |---------|----------| | "KINDLE_EMAIL not set" | Add to ~/.zshrc and run source ~/.zshrc | | "Authentication failed" | Use app password, not regular Gmail password | | "Document not delivered" | Check sender is whitelisted in Amazon settings | | "pypandoc not found" | Run pip3 install pypandoc pypandoc_binary |

Examples

Example 1: Morning research review

User: Send my research to Kindle
Claude: Found 3 Research Swarm documents in today's Captures:
  1. Research Swarm - Markdown to Kindle Workflow - 2026-01-09.md
  2. Research Swarm - API Design Patterns - 2026-01-09.md
  3. Research Swarm - Newsletter Growth - 2026-01-09.md

  Send these to your Kindle?
User: Yes
Claude: Sent 3 documents to your Kindle. They should arrive within a few minutes.

Example 2: Review backlog

User: Send someday-maybe to Kindle
Claude: Will send Someday-Maybe.md (your parked projects and tasks backlog).
  Send to Kindle?
User: Yes
Claude: Sent Someday-Maybe.md to your Kindle.

Example 3: Deep reading with expanded links

User: Send someday-maybe to Kindle with links expanded
Claude: Will send Someday-Maybe.md with 13 linked documents expanded:
  - PROJECT - Email Agent
  - Research - Claude Code Testing Infrastructure - 2026-01-06
  - ...

  The EPUB will include an appendix with the full content of each linked doc.
  Send to Kindle?
User: Yes
Claude: Sent Someday-Maybe.md (with 13 referenced documents) to your Kindle.